AI Security Scanner

When did anyone last look at your code specifically for security problems? Not a code review, where the reader is thinking about naming and structure, but a pass where the only question is how this could be abused. For most teams that pass happens once, before a launch, and then never again.

What is AI Security Scanner?

It is a free page that reads code with a security lens. You paste a file or a function, choose the language, and it reports what could be exploited, ordered by severity, with an explanation of the risk and a suggested correction.

It is a reading tool rather than a testing tool. It does not run your application, probe a live endpoint or execute anything. That limits what it can prove and makes it safe to point at code you are still writing, which is the stage where fixes are cheapest.

Why Use AI Security Scanner?

Because the common vulnerability classes are well documented and still ship constantly. String concatenation into a query. User input reflected into a page without escaping. An authorisation check on the route but not on the object. A token compared with a normal equality operator. None of these are exotic, and all of them get past a review focused on whether the code is readable.

A dedicated pass changes what the reader is looking for, and that is most of the benefit. AI Security Scanner is not a replacement for a professional review or for the automated scanning in your pipeline. It is the check that happens before those, at the point where the code is fresh in your head.

Who Should Use It?

• Developers writing code that handles user input, authentication or payments.
• Teams without a security specialist who still need a regular pass.
• Reviewers who want a second set of eyes before approving a sensitive change.
• Maintainers accepting contributions from people they do not know.
• Anyone learning secure coding who wants the reasoning attached to each finding.

How Does AI Security Scanner Work?

You paste code, it reports findings. The paste should be a complete unit: a whole file, or a function together with whatever calls it. Fragments produce guesses, because the tool cannot tell where a value came from.

The page uses the shared shell, so the prompt box takes the paste, the model selector chooses the engine, the accordion holds the security specific options, and the result card underneath carries a live word count and a copy button on any code it returns.

What it finds reliably, and what it cannot, is worth knowing before you rely on a result.

Step-by-Step Guide

1. Open AI Security Scanner. Free, no account, nothing to install.
2. Remove any real credentials from the code, then paste the file or function with its context.
3. Say what the code does and which inputs come from users or other systems.
4. Choose a model. Anthropic Claude AI, Google Gemini, DeepSeek and others are on the selector.
5. Set Language to your language, Security Focus to General for a first pass.
6. Turn Explain the Risk, Suggest a Fix and Map to OWASP on, then generate.
7. Work through the findings by severity, and verify each one against your own code path.

Key Features

Best Use Cases

An API surface has its own failure modes around rate limits, object level access and error responses, and AI API Security Analyzer is the page pointed at those.

Advanced Options Guide

Ten controls sit behind the accordion, and they are specific to security work rather than shared with the writing tools.

Example Inputs

Context is what separates a real finding from a guess. Compare a bare paste with this one.

PHP 8.2, no framework. This handler is reachable from a public search form.
The $_GET values come straight from the querystring. $db is a PDO connection.
Tell me what is exploitable and how bad it is.

function searchProducts($db, $term, $sort) {
    $sql = "SELECT * FROM products WHERE name LIKE '%$term%' ORDER BY $sort";
    return $db->query($sql)->fetchAll();
}

echo "Results for: " . $_GET['term'];

Both problems here are the classic pair. The query concatenates user input, so the search term is an injection point, and the sort column cannot be parameterised the same way and needs an allow list instead. The echo reflects input into the page without escaping, which is a stored problem waiting for the right payload. Saying the values are public and unfiltered is what turns "this looks risky" into a confirmed finding.

Tips & Common Mistakes

• ✅ Paste a complete unit, so the tool can see where each value came from.
• ✅ Say which inputs are attacker controlled, since that decides everything.
• ✅ Mention framework protections you already rely on, to reduce false positives.
• ✅ Verify each finding against your real code path before opening a ticket.
• ✅ Fix the class of problem, not only the line that was reported.
• ✅ Keep this as one layer among several, not as the whole security process.

The mistakes worth naming are these. Pasting a fragment and getting speculation, because provenance of the input was invisible. Dismissing a finding because the framework usually escapes, without checking that this path does. Fixing the reported line and leaving the same pattern in four other files. And treating a clean result as assurance, when a reading tool cannot see a logic flaw in your authorisation rules.

AIToolsay gives each job a page that already knows what it is looking at, so this prompt box expects code and the options are security specific rather than generic. The focus, severity and strictness controls let you choose between a broad first pass and a narrow audit, and the model selector lets a second engine review the same file when a finding looks doubtful. Everything is free with no account step, which matters when you want to check every change rather than only the big ones. Session history keeps each pass listed under the result so a general scan and a focused one sit side by side. The rest of the development tooling on AIToolsay is arranged the same way, so the refactor that fixes a finding and the API review that follows are each a page away.

Frequently Asked Questions

Take the file that handles your most sensitive input and give it a focused pass today. One complete paste with a sentence about where the input comes from is enough to get findings you can act on this afternoon. The Telegram community is a reasonable place to discuss secure coding patterns, and the newsletter or push notifications will let you know when new security tools land here.

Let AI Speak.